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BACKGROUND: Medical physics plays a crucial role in the diagnosis and treatment of cancer, primarily through the application of advanced imaging and radiation therapy techniques. As cancer treatments evolve, there is an increasing need for precision and efficacy to improve patient outcomes and minimize side effects. AIM: This study aims to explore the advancements in medical physics that enhance the precision and efficacy of cancer treatments. Specifically, it examines innovations in radiation therapy, imaging techniques, and dosimetry to understand their impact on patient care. METHOD: A comprehensive review of recent literature and clinical studies was conducted, focusing on the application of medical physics in cancer treatment. Key areas of investigation included the development and implementation of intensity-modulated radiation therapy (IMRT), image-guided radiation therapy (IGRT), stereotactic radiosurgery (SRS), and advancements in dosimetry. The review also assessed the integration of artificial intelligence (AI) and machine learning in treatment planning and delivery. RESULT: The findings indicate significant improvements in treatment precision and patient outcomes. Innovations such as IMRT and IGRT have enabled highly targeted radiation delivery, sparing healthy tissues and reducing side effects. SRS has shown efficacy in treating small, localized tumors with high doses of radiation. Enhanced dosimetry techniques have improved the accuracy of dose calculations, ensuring optimal treatment plans. The integration of AI has further refined treatment planning, allowing for personalized and adaptive therapies. CONCLUSION: Advancements in medical physics have substantially enhanced the precision and efficacy of cancer treatments. These innovations not only improve patient outcomes by delivering more effective and tailored therapies but also minimize adverse effects, contributing to better quality of life for cancer patients. Continued research and development in medical physics are essential to further refine these techniques and explore new frontiers in cancer treatment.
BACKGROUND: Medical physics plays a crucial role in the diagnosis and treatment of cancer, primarily through the application of advanced imaging and radiation therapy techniques. As cancer treatments evolve, there is an increasing need for precision and efficacy to improve patient outcomes and minimize side effects. AIM: This study aims to explore the advancements in medical physics that enhance the precision and efficacy of cancer treatments. Specifically, it examines innovations in radiation therapy, imaging techniques, and dosimetry to understand their impact on patient care. METHOD: A comprehensive review of recent literature and clinical studies was conducted, focusing on the application of medical physics in cancer treatment. Key areas of investigation included the development and implementation of intensity-modulated radiation therapy (IMRT), image-guided radiation therapy (IGRT), stereotactic radiosurgery (SRS), and advancements in dosimetry. The review also assessed the integration of artificial intelligence (AI) and machine learning in treatment planning and delivery. RESULT: The findings indicate significant improvements in treatment precision and patient outcomes. Innovations such as IMRT and IGRT have enabled highly targeted radiation delivery, sparing healthy tissues and reducing side effects. SRS has shown efficacy in treating small, localized tumors with high doses of radiation. Enhanced dosimetry techniques have improved the accuracy of dose calculations, ensuring optimal treatment plans. The integration of AI has further refined treatment planning, allowing for personalized and adaptive therapies. CONCLUSION: Advancements in medical physics have substantially enhanced the precision and efficacy of cancer treatments. These innovations not only improve patient outcomes by delivering more effective and tailored therapies but also minimize adverse effects, contributing to better quality of life for cancer patients. Continued research and development in medical physics are essential to further refine these techniques and explore new frontiers in cancer treatment.
Naproxen is well known as a nonsteroidal anti-inflammatory agent that belongs to propionic acid analogs and has the non-selective inhibitory property for both COX1 and COX2, and its side effects belong to the non-selective inhibitory of COX1 in addition to the anti-inflammatory action via COX2 inhibitory. The study aimed to design and synthesize a new Schiff baseof benzaldehyde and thiozolidinone derivative with amino acids spacers like Phenylalanine analogs P4, and Histidine (H5). In silico, the study design was done via auto dock vina soft wave and visualized by UCSF chimera. All analogs showed higher scores of virtual interactions with better affinity to COX2 vs COX1 except the analog P4, which showed a lower score than that of COX1. The chemical synthesis was performed using the conventional synthetic methods of esterification of amino acids, the insertion of hydrazine hydrate to the amino acids esters to get hydrazide, the reaction of benzaldehyde or anisaldehyde with hydrazide to get Schiff base, the reaction of Schiff base with mercaptoacetic acid to get Thiozolidinone, and finally the amidation of Naproxen to get the final analogs, the structural specification and characterization was introduced by FTIR, 1HNMR and 13Cspectroscopy. The biological evaluation of the newly synthesized analogs was done through induction paw edema, calculating the decrease in paw thickness in comparison with negative control DMSO and positive control naproxen. These results showed that all analogs got better anti-inflammatory action thanNaproxen; the best result was for the analog P4, which showed more powerful anti-inflammatory action than the others with a significant p-value (0.008 as compared with Naproxen)
Background: Uncontrolled hypertension increases the risk of cardiovascular illnesses and death, among other serious health problems. There are antihypertensive medications available, yet some individuals still don't respond to them. Because of the critical function that adrenaline neurons play in blood pressure control, inhibiting these neurons may offer a treatment option for resistant hypertension. Aim: This study conducted to Evaluation of the Efficacy of nanotecology based therapy as Adrenergic Neurons Inhibition in Patients with Uncontrolled Hypertension. Method: We was conducted a review article in the role of adrenergic blocker by medication or by surgery, knowing that we was used keywords "Antihypertensive Agents" and "nanotechnology based therapy," , "Adrenergic Neurons" , "Ganglia", "Spinal" and "Hypertensive Crisis" . in relevant search Engine such as google scholar , ResearchGate, PubMed and so one, we exclude any not relevant article and hypertention in pregnancy and so one. Result: The nanotechnology-enhanced treatment group showed a significant reduction in systolic and diastolic blood pressure compared to the control group. On average, the treatment group experienced a 20% greater reduction in blood pressure levels. Additionally, patients reported fewer side effects and better overall tolerance to the treatment. Conclusion: Nanotechnology-enhanced adrenergic neuron inhibition demonstrates substantial promise in managing uncontrolled hypertension. The improved efficacy and reduced side effects suggest that this innovative approach could offer a viable alternative for patients who do not respond well to conventional therapies. Further research and larger clinical trials are warranted to confirm these findings and optimize the treatment protocol.
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